{"id":"https://openalex.org/W3157637780","doi":"https://doi.org/10.3390/rs13091721","title":"A Self-Improving Framework for Joint Depth Estimation and Underwater Target Detection from Hyperspectral Imagery","display_name":"A Self-Improving Framework for Joint Depth Estimation and Underwater Target Detection from Hyperspectral Imagery","publication_year":2021,"publication_date":"2021-04-29","ids":{"openalex":"https://openalex.org/W3157637780","doi":"https://doi.org/10.3390/rs13091721","mag":"3157637780"},"language":"en","primary_location":{"id":"doi:10.3390/rs13091721","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13091721","pdf_url":"https://www.mdpi.com/2072-4292/13/9/1721/pdf?version=1619757008","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/13/9/1721/pdf?version=1619757008","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071985172","display_name":"Jiahao Qi","orcid":"https://orcid.org/0000-0002-2560-8157"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahao Qi","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102026457","display_name":"Pengcheng Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengcheng Wan","raw_affiliation_strings":["School of Computer Science and Technology, Anhui University of Technology, Maanshan 243032, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University of Technology, Maanshan 243032, China","institution_ids":["https://openalex.org/I92178344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074772585","display_name":"Zhiqiang Gong","orcid":"https://orcid.org/0000-0001-7999-3014"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiqiang Gong","raw_affiliation_strings":["National Innovation Institute of Defense Technology, Chinese Academy of Military Science, Beijing 110000, China"],"affiliations":[{"raw_affiliation_string":"National Innovation Institute of Defense Technology, Chinese Academy of Military Science, Beijing 110000, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728738","display_name":"Wei Xue","orcid":"https://orcid.org/0000-0002-0082-462X"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]},{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Xue","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China","School of Computer Science and Technology, Anhui University of Technology, Maanshan 243032, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University of Technology, Maanshan 243032, China","institution_ids":["https://openalex.org/I92178344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041260584","display_name":"Aihuan Yao","orcid":"https://orcid.org/0000-0002-0057-8748"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aihuan Yao","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101943329","display_name":"Xingyue Liu","orcid":"https://orcid.org/0000-0001-5071-5686"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyue Liu","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112634922","display_name":"Ping Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Zhong","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Automatic Target Recognition, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5112634922"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.3861,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.83066389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"13","issue":"9","first_page":"1721","last_page":"1721"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.9782000184059143,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8097532987594604},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.801956057548523},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.7219781875610352},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6314196586608887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5416377782821655},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4541078209877014},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.45050930976867676},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43425440788269043},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3561568856239319},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08414387702941895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8097532987594604},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.801956057548523},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.7219781875610352},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6314196586608887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5416377782821655},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4541078209877014},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.45050930976867676},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43425440788269043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3561568856239319},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08414387702941895},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs13091721","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13091721","pdf_url":"https://www.mdpi.com/2072-4292/13/9/1721/pdf?version=1619757008","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:318677a672d846b7acac53082c4b4b8a","is_oa":true,"landing_page_url":"https://doaj.org/article/318677a672d846b7acac53082c4b4b8a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 13, Iss 9, p 1721 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/13/9/1721/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs13091721","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs13091721","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs13091721","pdf_url":"https://www.mdpi.com/2072-4292/13/9/1721/pdf?version=1619757008","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1477131465","display_name":null,"funder_award_id":"61671456","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3195308144","display_name":null,"funder_award_id":"61971428, 61671456, 61806004, 62001502","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G562490864","display_name":null,"funder_award_id":"61806004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5698205309","display_name":null,"funder_award_id":"62001502","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5735822948","display_name":null,"funder_award_id":"61971428","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6699828440","display_name":null,"funder_award_id":"2020T","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6884984257","display_name":null,"funder_award_id":"2020T130767","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3157637780.pdf","grobid_xml":"https://content.openalex.org/works/W3157637780.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1991517407","https://openalex.org/W2003658579","https://openalex.org/W2004491663","https://openalex.org/W2041908105","https://openalex.org/W2047870694","https://openalex.org/W2076739620","https://openalex.org/W2081367793","https://openalex.org/W2086506050","https://openalex.org/W2134213291","https://openalex.org/W2158340226","https://openalex.org/W2161247168","https://openalex.org/W2163605009","https://openalex.org/W2169939759","https://openalex.org/W2547539089","https://openalex.org/W2766447301","https://openalex.org/W2767581044","https://openalex.org/W2781055951","https://openalex.org/W2781515835","https://openalex.org/W2783165089","https://openalex.org/W2903882147","https://openalex.org/W2907100627","https://openalex.org/W2921084751","https://openalex.org/W2965346420","https://openalex.org/W2987637330","https://openalex.org/W3006857401","https://openalex.org/W3011095215","https://openalex.org/W3013131247","https://openalex.org/W3021150190","https://openalex.org/W3023089620","https://openalex.org/W3044525485","https://openalex.org/W3080744342","https://openalex.org/W3091231798","https://openalex.org/W3120451664","https://openalex.org/W3131609839","https://openalex.org/W3133496398","https://openalex.org/W3134663792","https://openalex.org/W3152399938"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2044184146","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W2076134148"],"abstract_inverted_index":{"Underwater":[0],"target":[1,51,78,120,198,271],"detection":[2,86,93,121,199,206,210,248,272],"(UTD)":[3],"is":[4,41,69,97,188],"one":[5],"of":[6,18,28,59,106,147,176,232,264],"the":[7,19,26,37,48,60,82,91,104,114,125,137,145,148,163,174,177,184,197,209,222,225,230,233,260],"most":[8],"attractive":[9],"research":[10],"topics":[11],"in":[12,31,63,213,216,266],"hyperspectral":[13,252],"imagery":[14],"(HSI)":[15],"processing.":[16],"Most":[17],"existing":[20],"methods":[21],"are":[22],"presented":[23],"to":[24,46,55,71,88,99,131,160,190,202],"predict":[25],"signatures":[27],"desired":[29],"targets":[30],"an":[32,151],"underwater":[33,77,119,270],"context":[34],"but":[35],"ignore":[36],"depth":[38,61,74,83,101,141,186,234],"information":[39,84,102,130,167,187],"which":[40,80],"position-sensitive":[42],"and":[43,50,76,85,127,165,256,262],"contributes":[44],"significantly":[45],"distinguishing":[47],"background":[49],"pixels.":[52],"So":[53],"as":[54,136,221],"take":[56],"full":[57],"advantage":[58],"information,":[62],"this":[64,112,238],"paper":[65],"a":[66,107,192,203,245,251],"self-improving":[67,118,240],"framework":[68,122],"proposed":[70,115],"perform":[72],"joint":[73],"estimation":[75,142,235],"detection,":[79],"exploits":[81],"results":[87],"alternately":[89],"boost":[90],"final":[92],"performance.":[94],"However,":[95],"it":[96],"difficult":[98],"calculate":[100],"under":[103],"interference":[105],"water":[108],"environment.":[109],"To":[110],"address":[111],"dilemma,":[113],"framework,":[116,241],"named":[117],"(SUTDF),":[123],"employs":[124],"spectral":[126],"spatial":[128],"contextual":[129],"pick":[132],"out":[133],"target-associated":[134,219],"pixels":[135,220],"guidance":[138,149,178,226],"dataset":[139,195],"for":[140,171,196,224,250],"work.":[143],"Considering":[144],"incompleteness":[146],"dataset,":[150,227],"expectation-maximum":[152],"liked":[153],"updating":[154,182],"scheme":[155],"has":[156],"also":[157],"been":[158],"developed":[159],"iteratively":[161],"excavate":[162],"statistical":[164],"structural":[166],"from":[168],"input":[169],"HSI":[170],"further":[172],"improving":[173],"diversity":[175],"dataset.":[179],"During":[180],"each":[181],"epoch,":[183],"calculated":[185],"used":[189],"yield":[191],"more":[193,204,218,246],"diversified":[194],"network,":[200],"leading":[201],"accurate":[205],"result.":[207],"Meanwhile,":[208],"result":[211,249],"will":[212],"turn":[214],"contribute":[215],"detecting":[217],"supplement":[223],"eventually":[228],"promoting":[229],"capacity":[231],"network.":[236],"With":[237],"specific":[239],"we":[242],"can":[243],"provide":[244],"precise":[247],"UTD":[253],"task.":[254],"Qualitative":[255],"quantitative":[257],"illustrations":[258],"verify":[259],"effectiveness":[261],"efficiency":[263],"SUTDF":[265],"comparison":[267],"with":[268],"state-of-the-art":[269],"methods.":[273]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
